Access Live Redshift Data in SAS JMP via ODBC

You can use the CData ODBC Driver for Amazon Redshift to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the Redshift API, ensuring that your analysis reflects any changes to the data. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports.

The Redshift API supports bidirectional access. This article shows how to access Redshift data into a report and create data visualization. It also shows how to use SQL to query and manipulate Redshift data from the JMP Query Builder.

Access Redshift Data as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

To connect to Redshift, set the following:

• : Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
• : Set this to the port of the cluster.
• : Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
• : Set this to the username you want to use to authenticate to the Server.
• : Set this to the password you want to use to authenticate to the Server.

You can obtain the and values in the AWS Management Console:

1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
2. On the Clusters page, click the name of the cluster.
3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Import Redshift Data with the Query Builder

After you have created the Redshift DSN, you can use SQL to invoke the capabilities of the Redshift API. Follow the steps below to execute some supported queries in the Query Builder:

1. In SAS JMP, click File -> Database -> Query Builder. The Select Database Connection dialog is displayed.
2. Click New Connection.
3. On the Machine Data Source tab, select the ODBC DSN you configured and then click Next. 👁 Select the ODBC DSN you configured. (Salesforce is shown.)
   
4. The Select Tables for Query dialog is displayed and in the Available Tables section, select a table and click Primary. After choosing the primary table, click Build Query to open the Query Builder. 👁 Select the Primary table for the Query. (Salesforce is shown.)
   
5. As you drag Available Columns to the Included Columns tab, the underlying SQL query is updated and you can view the generated SQL Query in the SQL tab. 👁 The generated query in the Query Builder. (Salesforce is shown.)
   
6. Click Run Query to display the data. 👁 The results of a query in the Query Builder. (Salesforce is shown.)
   
7. To refresh the results with the current data, right-click Update from Database and click Run Script.

Manipulate Redshift Data

You can execute data manipulation queries from JSL scripts such as the one below. To execute a script, click New Script in the toolbar. To connect, specify the DSN. You can then use the standard SQL syntax:

Open Database( "DSN=CData Redshift Source;",
"INSERT INTO Orders
(ShipCountry)
VALUES ('USA');");

Visualize Redshift Data

After importing, you can use the Graph Builder to create graphs visually. To open the Graph Builder, click the Graph Builder button in the toolbar.

1. Drag a dimension column onto the x axis. For example, ShipName.
2. Drag a measure column onto the y axis. For example, ShipCity.
3. Select a chart type. For example, a bar chart. 👁 Configuration of a basic chart. (Salesforce is shown.)